| 摘要 |
Social networking applications may be improved by incorporating a user's language proficiency to make content suggestions to the user. A language preference of a user, which may represent one of a plurality of signals, may be received. A signal may be, for example, an online activity of the user, a text generated or received by the user, or content requested by the user. At least one of the plurality of signals may be analyzed using a machine learning program. A machine learning program may be trained on data for a test group of users with a known language proficiency. A user-assigned language proficiency may be incorporated as a signal in training a machine learning program. The language proficiency of the user may be determined based upon the analysis of at least one of the plurality of signals. Content may be presented to the user based upon the language proficiency of the user. |
